# Best Analytics Platforms for Small Business - Page 5

## How Many Analytics Platforms Products Does G2 Track?

**Total Products under this Category:** 366

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Aible (+4.36%) - Among all products in this category, Aible recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Analytics Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 28,800+ Authentic Reviews
- 366+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Analytics Platforms
 ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=1213&focus%5B%5D=29364&focus%5B%5D=1327283&focus%5B%5D=610&focus%5B%5D=989&focus%5B%5D=20158&focus%5B%5D=5981&focus%5B%5D=5048)

Highlighted products: Tableau, Microsoft Power BI, SAS Viya, GoodData.AI, Alteryx, Amazon QuickSight, Yellowfin BI, and Looker.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=sas-sas-viya&focus%5B%5D=gooddata-ai&focus%5B%5D=alteryx&focus%5B%5D=amazon-quicksight&focus%5B%5D=yellowfin-bi&focus%5B%5D=looker&segment=small-business)

**Sponsored**

### Zoho Analytics

Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-08-03T06%3A50%3A46Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3431&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%2Fsmall-business%3Fpage%3D5%26segment%3Dsmall-business&secure%5Btoken%5D=e556894510feac06d1bc45a0ee1a0e6ced1b0a989174e443bd56fd666e679b32&secure%5Burl%5D=https%3A%2F%2Fwww.zoho.com%2Fanalytics%2F%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DAnalytics_Platforms&secure%5Burl_type%5D=custom_url)

### [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews)

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.

**Average Rating:** 4.8/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate Plotly Dash Enterprise?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Plotly Dash Enterprise?

- **Seller:** [Plotly](https://www.g2.com/sellers/plotly)
- **Year Founded:** 2013
- **HQ Location:** Montréal, CA
- **Twitter:** @plotlygraphs  
41,308 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=333261e482ab8eeda91d8b94f8944150fd0b5c49c67c2f514107b3eda84f9046&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3327684%2F&secure%5Burl_type%5D=linkedin_company_website)  
105 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 47% Small, 31% Large

#### What Do G2 Reviewers Say About Plotly Dash Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of creating beautiful visualizations** with Drag-and-Drop features in Plotly Dash Enterprise.
- Users love the **coding ease** of Plotly Dash Enterprise, allowing simple chart creation through drag and drop functionality.
- Users value the **customer support** of Plotly Dash Enterprise, enhancing their experience with prompt and effective assistance.
- Users love the **intuitive dashboard management** of Plotly Dash Enterprise, enhancing efficiency with easy visualizations and SQL support.
- Users value the **ease of creating stunning visualizations** in Plotly Dash Enterprise, enhancing their data presentation experience.

#### What Are Recent G2 Reviews of Plotly Dash Enterprise?

**["Dash Dominance in Creating Interactive Web Apps for Your Data Insights"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)**

**Rating:** 5.0/5.0 stars

_— Uttam M._

[Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)

**["Its the perfect Data Management"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)**

**Rating:** 4.5/5.0 stars

_— Maria F._

[Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)

#### What Are G2 Users Discussing About Plotly Dash Enterprise?

- [What are 3 benefits of a dashboard?](https://www.g2.com/discussions/dash-what-are-3-benefits-of-a-dashboard)
- [What is the best dashboard software?](https://www.g2.com/discussions/dash-what-is-the-best-dashboard-software)
- [How good is Dash?](https://www.g2.com/discussions/how-good-is-dash)
- [What is the function of a dashboard?](https://www.g2.com/discussions/what-is-the-function-of-a-dashboard)

### [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

**Average Rating:** 4.2/5.0

**Total Reviews:** 328

#### How Do G2 Users Rate Spotfire Analytics?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Spotfire Analytics?

- **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7dcd1e227e53d0c4eb587e0a0cf8209fa1226ac43f34c44e1a9a242dcc4e5672&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fspotfire%2F&secure%5Burl_type%5D=linkedin_company_website)  
103 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Manager
- **Top Industries:** Oil & Energy, Information Technology and Services
- **Company Size:** 52% Large, 26% Medium

#### What Do G2 Reviewers Say About Spotfire Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Spotfire's **ease of use** exceptional, enabling quick data visualization even for complex datasets.
- Users appreciate the **powerful and flexible data visualization capabilities** of Spotfire Analytics, making complex data exploration effortless.
- Users praise **Spotfire Analytics for transforming complex data into user-friendly interactive visualizations** , making analysis accessible to all team members.
- Users praise the **easy integrations** of Spotfire Analytics, seamlessly connecting diverse data sources for powerful analysis.
- Users love Spotfire Analytics for its **seamless integration and powerful visualization features** , enhancing decision-making and saving valuable time.

##### Cons

- Users find the **learning curve steep** for Spotfire Analytics, particularly with advanced features and data modeling skills.
- Users find **learning difficult** due to the overwhelming number of functions and complex features in Spotfire Analytics.
- Users find Spotfire Analytics to be **relatively expensive** compared to competitors, with high licensing and maintenance costs.
- Users find the **steep learning curve** of Spotfire Analytics challenging, especially regarding advanced features and user interface.
- Users often find the **complexity of Spotfire Analytics** overwhelming initially, especially those new to data modeling or scripting.

#### What Are Recent G2 Reviews of Spotfire Analytics?

**["Where data science becomes visual—and actually useful!"](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)**

**Rating:** 5.0/5.0 stars

_— Leandro A._

[Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)

**["A Comprehensive Analytics Platform for Deep, Real-Time Data Insights"](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)**

**Rating:** 5.0/5.0 stars

_— Manan B._

[Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)

#### What Are G2 Users Discussing About Spotfire Analytics?

- [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment
- [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for)
- [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments
- [What is most like Tibco Spotfire?](https://www.g2.com/discussions/what-is-most-like-tibco-spotfire) - 1 comment
- [What's New In Tibco Spotfire?](https://www.g2.com/discussions/what-s-new-in-tibco-spotfire) - 1 comment

### [SAP BusinessObjects Business Intelligence (BI)](https://www.g2.com/products/sap-businessobjects-business-intelligence-bi/reviews)

The SAP® BusinessObjects™ Business Intelligence (BI) platform is a flexible, scalable information infrastructure that helps you more easily discover and share insights for better business decisions. The integrated, unified infrastructure enables scalability from one to many tools and interfaces on premise, in the cloud, or as a hybrid approach.

**Average Rating:** 3.8/5.0

**Total Reviews:** 236

#### How Do G2 Users Rate SAP BusinessObjects Business Intelligence (BI)?

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 7.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAP BusinessObjects Business Intelligence (BI)?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Account Manager
- **Top Industries:** Information Technology and Services, Hospital & Health Care
- **Company Size:** 66% Large, 28% Medium

#### What Do G2 Reviewers Say About SAP BusinessObjects Business Intelligence (BI)?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **flexible charting features** of SAP BI, creating impressive visuals and comprehensive dashboards effortlessly.
- Users appreciate the **data visualization capabilities** of SAP BusinessObjects BI, enhancing insights and presentations for leadership effectively.
- Users value the **ease of understanding** in SAP BI, enabling quick visualizations and effective data presentations for leadership.
- Users appreciate the **integration capabilities** of SAP BI, enabling enhanced visuals and dashboards for data analysis.
- Users value the **team collaboration features** of SAP BI, enhancing data visualization and dashboard creation for better insights.

#### What Are Recent G2 Reviews of SAP BusinessObjects Business Intelligence (BI)?

**["Data Analytics Platform Enhanced"](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981)**

**Rating:** 5.0/5.0 stars

_— Meghan I._

[Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981)

**["Great for Financial Analysis"](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662)**

**Rating:** 5.0/5.0 stars

_— Verified User in Education Management_

[Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662)

#### What Are G2 Users Discussing About SAP BusinessObjects Business Intelligence (BI)?

- [What is SAP BusinessObjects Business Intelligence (BI) used for?](https://www.g2.com/discussions/what-is-sap-businessobjects-business-intelligence-bi-used-for)
- [What are the tools used in business intelligence?](https://www.g2.com/discussions/what-are-the-tools-used-in-business-intelligence)
- [What is SAP Business Objects used for?](https://www.g2.com/discussions/what-is-sap-business-objects-used-for)
- [What is SAP Business Intelligence?](https://www.g2.com/discussions/what-is-sap-business-intelligence)
- [What is BusinessObjects business intelligence platform?](https://www.g2.com/discussions/what-is-businessobjects-business-intelligence-platform)

### [SAS Enterprise Guide](https://www.g2.com/products/sas-enterprise-guide/reviews)

SAS Enterprise Guide is a Windows-based client application that provides a user-friendly, point-and-click interface to the powerful analytics capabilities of SAS software. Designed to cater to both novice and experienced users, it facilitates data access, management, analysis, and reporting without the need for extensive programming knowledge. By integrating a wide array of analytical tasks with an intuitive graphical interface, SAS Enterprise Guide empowers users to efficiently conduct complex analyses and share results across their organization. Key Features and Functionality: - Intuitive Interface and Wizards: Offers guided access to SAS capabilities, from basic reporting to advanced analyses, through flexible wizards and an intuitive process flow diagram facility. - Comprehensive Analytical Tasks: Includes over 100 prebuilt tasks for descriptive statistics, predictive modeling, regression analysis, and more, enabling users to perform complex analyses without writing code. - Data Management: Provides a powerful graphical query builder for accessing and manipulating various data types, including SAS datasets and native Windows data types, without requiring SQL expertise. - OLAP Access and Visualization: Supports dynamic slicing, drilling, and pivoting of data for exploration, with integration capabilities for SAS OLAP Server and other third-party vendors supporting OLE DB for OLAP. - Result Distribution and Sharing: Facilitates the distribution of results through multiple channels, including SAS BI report/content repository, Microsoft Office documents, and email, ensuring seamless sharing and collaboration. - High-Performance Computing and Grid Enablement: Automatically detects grid environments for efficient processing, analyzes SAS programs to optimize performance, and enables parallel execution of tasks on the same server. Primary Value and User Solutions: SAS Enterprise Guide addresses the need for a self-service analytics environment that empowers business analysts and other users to perform sophisticated data analyses without relying heavily on IT departments. By providing guided access to data integration, preparation, analytics, and reporting, it enables users to quickly access data, conduct analyses, and distribute results, thereby accelerating decision-making processes. The integration with SAS Viya further enhances its capabilities, allowing users to leverage modern, cloud-based platforms for scalable and efficient analytics. This comprehensive toolset ultimately helps organizations harness their data effectively, leading to more informed business decisions and improved operational efficiency.

**Average Rating:** 4.3/5.0

**Total Reviews:** 112

#### How Do G2 Users Rate SAS Enterprise Guide?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.4/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Enterprise Guide?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Top Industries:** Banking, Hospital & Health Care
- **Company Size:** 57% Large, 26% Medium

#### What Do G2 Reviewers Say About SAS Enterprise Guide?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in SAS Enterprise Guide, finding it accessible for beginners and non-technical users.
- Users enjoy the **flexible user interface** of SAS Enterprise Guide, combining coding freedom with intuitive GUI features.
- Users value the **efficient data analysis** capabilities of SAS Enterprise Guide, enhancing decision-making through integrated tools.
- Users value the **effective data visualization** capabilities of SAS Enterprise Guide, enhancing decision-making with ease.
- Users find SAS Enterprise Guide's **ease of learning** excellent, accommodating everyone from beginners to experts effectively.

##### Cons

- Users experience **slow performance** with SAS Enterprise Guide, making data manipulation and debugging cumbersome.
- Users find the **complex usage** challenging, especially first-time navigation and finding options within the menus.
- Users find the **learning curve steep** due to a clunky interface and complicated menu navigation.
- Users often find SAS Enterprise Guide **buggy and slow** , making data manipulation a challenging experience.
- Users often struggle with **integration issues** , finding it hard to connect SAS Enterprise Guide to various systems.

#### What Are Recent G2 Reviews of SAS Enterprise Guide?

**["Dynamic and User-Friendly with Robust Performance"](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12706111)**

**Rating:** 4.5/5.0 stars

_— Charles A._

[Read full review](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12706111)

**["Versatile Tool with Room for UI Improvement"](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12713363)**

**Rating:** 5.0/5.0 stars

_— Alec E._

[Read full review](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12713363)

#### What Are G2 Users Discussing About SAS Enterprise Guide?

- [What is SAS Enterprise Guide used for?](https://www.g2.com/discussions/sas-enterprise-guide-what-is-sas-enterprise-guide-used-for)
- [How much is SAS Enterprise Guide?](https://www.g2.com/discussions/how-much-is-sas-enterprise-guide)
- [What is the latest version of SAS Enterprise Guide?](https://www.g2.com/discussions/what-is-the-latest-version-of-sas-enterprise-guide)
- [What is the difference between SAS Studio and SAS Enterprise Guide?](https://www.g2.com/discussions/what-is-the-difference-between-sas-studio-and-sas-enterprise-guide)
- [What is SAS Enterprise Guide used for?](https://www.g2.com/discussions/what-is-sas-enterprise-guide-used-for)

### [Grow.com](https://www.g2.com/products/grow-com/reviews)

Grow is a no-code full-stack business intelligence (BI) platform that empowers everyone in your organization to make data-driven decisions. By combining ETL, data warehousing and visualization in one easy-to-use platform, any organization can connect and explore its data to surface insights. Our unlimited-user license model gives everyone access to the answers they need without waiting in line for an analyst. Now everyone can make great decisions in real-time to accelerate their growth.

**Average Rating:** 4.3/5.0

**Total Reviews:** 274

#### How Do G2 Users Rate Grow.com?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Grow.com?

- **Seller:** [Epicor](https://www.g2.com/sellers/epicor)
- **Company Website:** www.epicor.com
- **Year Founded:** 1972
- **HQ Location:** Austin, TX
- **Twitter:** @Epicor  
9,286 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=89ee06eeb2c1092926115071b22ad87b028ed4fd4eb02deb7823f4298af79e9e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F4617%2F&secure%5Burl_type%5D=linkedin_company_website)  
6,179 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Account Manager
- **Top Industries:** Marketing and Advertising, Computer Software
- **Company Size:** 64% Small, 34% Medium

#### What Do G2 Reviewers Say About Grow.com?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Grow.com, enabling quick data access and effortless dashboard creation for all teams.
- Users appreciate the **easy data visualization** in Grow.com, enabling quick insights without navigating multiple tools.
- Users appreciate the **easy integrations** of Grow.com, seamlessly connecting data sources for quick insights and reports.
- Users appreciate the **user-friendly interface** of Grow.com, making performance tracking and reporting easily accessible.
- Users love the **seamless integrations** of Grow.com, enabling easy data collection from various sources for effective reporting.

##### Cons

- Users find Grow.com **expensive** , making it challenging for small firms and affecting overall accessibility.
- Users face **missing features** , such as inadequate visualization and performance issues, impacting usability and flexibility.
- Users find that the **slow loading** of data sources can hinder their overall experience with Grow.com.
- Users often face **slow performance** with Grow.com, especially during data syncing and refreshing processes, impacting analysis accuracy.
- Users experience **performance issues** due to large datasets, resulting in timeouts and a sluggish dashboard.

#### What Are Recent G2 Reviews of Grow.com?

**["Easy to use for most users"](https://www.g2.com/survey_responses/grow-com-review-12953865)**

**Rating:** 4.5/5.0 stars

_— Verified User in Mechanical or Industrial Engineering_

[Read full review](https://www.g2.com/survey_responses/grow-com-review-12953865)

**["Senior Accounting Specialist"](https://www.g2.com/survey_responses/grow-com-review-11487448)**

**Rating:** 5.0/5.0 stars

_— Verified User in Accounting_

[Read full review](https://www.g2.com/survey_responses/grow-com-review-11487448)

#### What Are G2 Users Discussing About Grow.com?

- [What is Grow.com used for?](https://www.g2.com/discussions/what-is-grow-com-used-for)

### [Phocas Software](https://www.g2.com/products/phocas-software/reviews)

Phocas Software delivers cloud-based business intelligence (BI) and financial planning and analysis (FP&A) solutions for mid-market businesses in wholesale distribution, manufacturing, and retail. Phocas delivers an intuitive, accessible platform that simplifies data analysis and financial planning, empowering organizations to make confident, data-driven decisions. Seamlessly integrating with ERP systems and any other source, Phocas consolidates data into a centralized platform. Unlocking the potential of ERP data and delivering improvements at every business level. Its BI core enables users to explore data, spot trends, and find opportunities. FP&A tools support dynamic financial reporting, flexible budgeting, performance tracking and accurate forecasts. Plus, Phocas offers automated rebate management. Phocas Analytics A BI tool that connects businesses around one central data source. It’s fast, secure and designed to be self-serve for everyone. Up-to-date data is easy to access and explore empowering people to understand and improve the business at any level – by branch, division, sales, product, customer. • Data consolidation: ERP + other data sources automatically consolidated into a centralized platform • AI natural language: query data using Phocas AI and get instant answers • Drill down: Explore data from high-level overviews to transactional detail • Enhanced analysis: Flexible pivot tables enable custom data analysis • Ad hoc reporting: Build custom reports and dashboards in minutes and with ease • Visualizations & dashboards: Transform live data into custom dashboards, charts, graphs and sparklines Phocas Financial Statements Designed to help businesses easily and accurately report on their financial health and performance. ERP numbers are transformed into dynamic profit and loss (income statement), balance sheet and cashflow statements. Empowering users to quickly explore data in detail and to proactively solve problems. • Customize: Easily adjust statements to suit cross-functional teams • Fast: speed up month-end with automated financial data consolidation and reporting • Live actuals: work with reliable, up-to-date actuals with formulas and ratios baked into the tool • Drill down: slice, dice and drill down to transaction-level detail • Side-by-side analysis: compare statements across different periods, branches, divisions • User-based access: secure visibility and direction for end business users Phocas Budgets & Forecasts Consolidates planning across the business in one place – financial budgets, sales forecasts, headcount, demand planning. As easy to use as a spreadsheet, just faster and custom-built. • Automated: budgets and forecasts are populated with live ERP data so actuals are always reliable • Flexible: adapts to growing business needs; handles increased complexity, detailed planning • Easy tracking: use live actuals to regularly track performance, compare to budgets, quickly reforecast • Collaborative: assignment, submission and approval processes make cross-functional input quick and stress-free • Versatile: facilitates driver-based, multi-level, 3-statement budgeting, unlimited scenario planning Phocas Rebates Automated payable and receivable rebate management that improves accuracy and delivers more profitable outcomes. A self-serve tool that makes it easy to identify trends, spot near misses, and assess overall performance. With real-time updates, users can quickly optimize product offers, pricing, and purchasing decisions to align with emerging opportunities. Enabling businesses to maximize profitability and strengthen partnerships.

**Average Rating:** 4.6/5.0

**Total Reviews:** 188

#### How Do G2 Users Rate Phocas Software?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Phocas Software?

- **Seller:** [Phocas Software](https://www.g2.com/sellers/phocas-software)
- **Company Website:** www.phocassoftware.com
- **Year Founded:** 1999
- **HQ Location:** Sydney, AU
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7eb9c21d1181e3923b0fde959f16f1699c72049f69befd87e6910ef659203119&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1114241%2F&secure%5Burl_type%5D=linkedin_company_website)  
332 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Wholesale, Electrical/Electronic Manufacturing
- **Company Size:** 66% Medium, 23% Small

#### What Do G2 Reviewers Say About Phocas Software?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Phocas Software, enabling straightforward data interpretation and effective decision-making.
- Users praise Phocas Software for its **intuitive capabilities** that simplify data analysis and enhance decision-making.
- Users value **fast and clear data analysis** in Phocas Software, facilitating informed decision-making with ease.
- Users value the **easy report creation** in Phocas Software, enabling quick, defensible insights for decision-making.
- Users appreciate the **reporting efficiency** of Phocas Software, enabling quick, credible insights for informed decision-making.

##### Cons

- Users find **feature improvements necessary** for Phocas Software, particularly in budgeting and user experience at scale.
- Users note that **improvements are needed** in data handling, budgeting, and user experience for better efficiency.
- Users report **missing features** in Phocas Software, impacting operational efficiency and user experience in complex environments.
- Users express frustration over **missing functionality** like real-time data access and limited contract-level intelligence in Phocas Software.
- Users report encountering **bugs and date format issues** that complicate setup and lead to time-consuming troubleshooting.

#### What Are Recent G2 Reviews of Phocas Software?

**["Phocas Software: Delivering Decision-Ready Insight, Commercial Control, and Governance at Scale"](https://www.g2.com/survey_responses/phocas-software-review-12082649)**

**Rating:** 5.0/5.0 stars

_— Lyndon R._

[Read full review](https://www.g2.com/survey_responses/phocas-software-review-12082649)

**["Effortless Data Integration and Visualization with Phocas"](https://www.g2.com/survey_responses/phocas-software-review-12057725)**

**Rating:** 5.0/5.0 stars

_— Matthew W._

[Read full review](https://www.g2.com/survey_responses/phocas-software-review-12057725)

#### What Are G2 Users Discussing About Phocas Software?

- [What is Phocas Software used for?](https://www.g2.com/discussions/what-is-phocas-software-used-for) - 1 comment

### [Infor Birst](https://www.g2.com/products/infor-birst/reviews)

Birst is a native cloud business intelligence (BI) and business analytics platform that helps organizations understand and optimize complex processes in less time than traditional BI solutions. Built with patented automation and machine learning technologies, Birst’s Data-as-a-Service approach connects teams and applications across the enterprise via a trusted network of analytics and insights to inform smarter decisions. This unique approach helps leading organizations leverage all their siloed and diverse data sources and extract insights to improve workforce productivity, asset optimization, process efficiencies, and customer satisfaction—often in 90 days or less.

**Average Rating:** 4.0/5.0

**Total Reviews:** 84

#### How Do G2 Users Rate Infor Birst?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Infor Birst?

- **Seller:** [Infor](https://www.g2.com/sellers/infor)
- **Year Founded:** 2002
- **HQ Location:** New York
- **Twitter:** @Infor  
18,472 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d0b3dd6227f8bf2585371eff689c32131e1d6fb4a8114161512fe1f2ec60d9bf&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1711%2F&secure%5Burl_type%5D=linkedin_company_website)  
22,257 employees on LinkedIn®
- **Phone:** 800-260-2640

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 44% Medium, 34% Large

#### What Are Recent G2 Reviews of Infor Birst?

**["Birst BI Capabilities are better then its competitors"](https://www.g2.com/survey_responses/infor-birst-review-8280183)**

**Rating:** 4.5/5.0 stars

_— Sumer S._

[Read full review](https://www.g2.com/survey_responses/infor-birst-review-8280183)

**["Excellent Business Intelligence Tool"](https://www.g2.com/survey_responses/infor-birst-review-8159886)**

**Rating:** 5.0/5.0 stars

_— Sakshi J._

[Read full review](https://www.g2.com/survey_responses/infor-birst-review-8159886)

#### What Are G2 Users Discussing About Infor Birst?

- [What is your experience with Infor Birst for business intelligence, and what features do you rely on?](https://www.g2.com/discussions/what-is-your-experience-with-infor-birst-for-business-intelligence-and-what-features-do-you-rely-on)
- [What is Infor Birst used for?](https://www.g2.com/discussions/what-is-infor-birst-used-for)

### [InsightOut](https://www.g2.com/products/insightout/reviews)

InsightOut is a unified data analytics platform from Treehouse Technology Group that enables business teams to do more with their data. Business users can extract insights and value from their data in context and at scale, with self-service simplicity. Our end-to-end data solution aggregates, cleans, and blends fragmented data across departments — no matter the data source or volume — within a visual command center. With purpose-built dashboards and intuitive visualizations, users have a 360° view of the business and can independently manage and analyze data at the speed of thought, without reliance on IT. Beyond data visualization, automated data discovery surfaces actionable business insights from the underlying data. This enables proactive decision-making to accelerate your time to market, mitigate risk, and enhance your operational efficiency. Designed to support the workflows unique to your organization, InsightOut’s dynamic reporting and native Excel add-in fosters data distribution and collaboration throughout your extended enterprise of internal and external stakeholders. By joining best-in-class solutions in business intelligence and business planning, InsightOut empowers business leaders to drive growth and lead with data. Treehouse Technology Group is a technology and data strategy consulting firm, providing data development and software implementation services since 2014. We are a trusted technology partner to the Fortune 500, world-class innovators, and capital market leaders. Our valued customers include Envision Healthcare, Mars Petcare, Fidelity, Teleflex, Bain Capital, Berkshire Partners, and Wynn Resorts.

**Average Rating:** 4.6/5.0

**Total Reviews:** 49

#### How Do G2 Users Rate InsightOut?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind InsightOut?

- **Seller:** [Wolf & Company, P.C.](https://www.g2.com/sellers/wolf-company-p-c)
- **Year Founded:** 1911
- **HQ Location:** Boston, Massachusetts
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f8bbb9fc543d64d7f1ba69c94d69c31d4315ae399306a6b1a57fbe3098d278f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwolf-%26-company-p-c-%2F&secure%5Burl_type%5D=linkedin_company_website)  
546 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Accounting
- **Company Size:** 52% Medium, 38% Small

#### What Are Recent G2 Reviews of InsightOut?

**["Great job in field of Transportation and Logistics"](https://www.g2.com/survey_responses/insightout-review-8348214)**

**Rating:** 5.0/5.0 stars

_— Shivam S._

[Read full review](https://www.g2.com/survey_responses/insightout-review-8348214)

**["InsightOut is taking us to the next level of data analytics!"](https://www.g2.com/survey_responses/insightout-review-8198660)**

**Rating:** 5.0/5.0 stars

_— Greg D._

[Read full review](https://www.g2.com/survey_responses/insightout-review-8198660)

### [Explo](https://www.g2.com/products/explo/reviews)

Explo provides a powerful embedded dashboard and reporting solution. Securely share customizable product analytics, project reports, and KPIs with each of your customers all while seamlessly matching your product's design. Give your users the power to explore their data on their on by editing dashboards and building their own self serve data reports.

**Average Rating:** 4.9/5.0

**Total Reviews:** 137

#### How Do G2 Users Rate Explo?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Steps to Answer:** 9.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.2/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Explo?

- **Seller:** [Explo](https://www.g2.com/sellers/explo)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, CA
- **Twitter:** @tryexplo  
657 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=390bde9480d24f9dd3ddc7c9d6bf3d58d8a8bb8ba5f6c959d0344e26a7d0f319&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fexplo-co&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Co-Founder
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 77% Small, 22% Medium

#### What Do G2 Reviewers Say About Explo?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **flexible charting features** of Explo, enabling quick data connections and beautiful visualizations.
- Users love the **flexible dashboard customization** in Explo, enhancing data visualization and user experience significantly.
- Users value the **ease of use** of Explo, highlighting its intuitive UI and quick dashboard creation capabilities.
- Users love the **easy creation** of dashboards in Explo, appreciating its flexibility and intuitive interface for customization.
- Users value the **customizability** of Explo, appreciating its intuitive UI and flexible dashboard creation tools.

##### Cons

- Users find the **complexity** of implementing customer-facing dashboards challenging, due to a difficult and unintuitive design.
- Users find the **complex usage** of Explo challenging due to its unintuitive design and difficult learning curve.
- Users find the **initial difficulty** in implementing customer-facing dashboards challenging due to the unintuitive design.
- Users struggle with **layout issues** in Explo, finding the dashboard implementation complex and the design unintuitive.
- Users find the **learning curve steep** due to Explo's unintuitive design and complex customer-facing dashboard implementation.

#### What Are Recent G2 Reviews of Explo?

**["Explo Review"](https://www.g2.com/survey_responses/explo-review-11673994)**

**Rating:** 5.0/5.0 stars

_— Ravi T._

[Read full review](https://www.g2.com/survey_responses/explo-review-11673994)

**["Very useful"](https://www.g2.com/survey_responses/explo-review-11657769)**

**Rating:** 5.0/5.0 stars

_— Sowmiya R._

[Read full review](https://www.g2.com/survey_responses/explo-review-11657769)

#### What Are G2 Users Discussing About Explo?

- [How has Explo enhanced your data visualization efforts, and what features do you find most useful?](https://www.g2.com/discussions/how-has-explo-enhanced-your-data-visualization-efforts-and-what-features-do-you-find-most-useful)

### [TIMi](https://www.g2.com/products/timi/reviews)

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/

**Average Rating:** 4.8/5.0

**Total Reviews:** 50

#### How Do G2 Users Rate TIMi?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind TIMi?

- **Seller:** [TIMi SPRL](https://www.g2.com/sellers/timi-sprl)
- **Year Founded:** 2007
- **HQ Location:** Brussels
- **Twitter:** @TIMiSuite  
3,532 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=971f3925a6956e05a647be8fd1276e7d0dff730641661fd07a00aa7e188d7784&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftimisuite%2F&secure%5Burl_type%5D=linkedin_company_website)  
86 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 40% Small, 32% Large

#### What Do G2 Reviewers Say About TIMi?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **exceptional customer support** from the TIMi team, highlighting their quick responses and helpfulness.
- Users find TIMi's platform incredibly **user-friendly** , facilitating intuitive navigation and quick learning for efficient data transformation.
- Users appreciate the **user-friendly interface and exceptional team support** of TIMi, enhancing productivity and efficiency.
- Users praise the **automation capabilities** of TIMi, noting its speed and ease of use for data transformations.
- Users love the **fast and intuitive charting features** of TIMi, enabling quick data transformations and analysis.

#### What Are Recent G2 Reviews of TIMi?

**["Effortless ETL with Potential for ML Growth"](https://www.g2.com/survey_responses/timi-review-12545228)**

**Rating:** 4.0/5.0 stars

_— Zainab Y._

[Read full review](https://www.g2.com/survey_responses/timi-review-12545228)

**["TIMi and Anatella: fast, scalable, and efficient ML pipeline for very large volumes"](https://www.g2.com/survey_responses/timi-review-12712058)**

**Rating:** 5.0/5.0 stars

_— Hugo D._

[Read full review](https://www.g2.com/survey_responses/timi-review-12712058)

#### What Are G2 Users Discussing About TIMi?

- [What is TIMi Suite used for?](https://www.g2.com/discussions/what-is-timi-suite-used-for) - 1 comment

### [BIMachine](https://www.g2.com/products/bimachine/reviews)

A BIMachine é uma plataforma cloud de Business Intelligence e Analytics, fornecida no modelo software-as-a-service, contando com os recursos para ajudar a sua empresa a ser mais eficiente e crescer no mercado. Mais do que praticidade, BI e cloud é uma integração que pressupõe assertividade, e estes são dois fatores que não podem faltar na receita de expansão de qualquer organização. Considerada a maior plataforma de Analytics da América Latina, a BIMachine é 100% brasileira, completa e escalável para criação de aplicações de negócio em nuvem. Com APP mobile disponível em IOS e Android, é possível ter a informação do seu negócio na palma da sua mão e no momento que você precisar. Além disso, a ferramenta permite criar painéis com suas análises, gráficos, mapas e KPI′s, para visualizar suas informações em um único local. Ademais, você pode criar análises a partir da sua origem de dados e modelar a melhor visão do seu negócio através de tabelas e gráficos, acompanhando indicadores de desempenho de uma maneira interativa e automatizada (automatizando o envio de reports por e-mail e WhatsApp).

**Average Rating:** 4.6/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate BIMachine?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind BIMachine?

- **Seller:** [BIMachine](https://www.g2.com/sellers/bimachine)
- **Year Founded:** 2014
- **HQ Location:** Lajeado, Rio Grande do Sul
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=acd13ceccbd36e062cf55529afc5c3dd3ed13cad325925bfd641013903f11908&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbim-machinells%2F&secure%5Burl_type%5D=linkedin_company_website)  
49 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 58% Small, 21% Medium

#### What Are Recent G2 Reviews of BIMachine?

**["Powerful Business Intelligence project platform"](https://www.g2.com/survey_responses/bimachine-review-9506872)**

**Rating:** 4.5/5.0 stars

_— Anapierski R._

[Read full review](https://www.g2.com/survey_responses/bimachine-review-9506872)

**["Ethical and pre-eminent platform for data visualization"](https://www.g2.com/survey_responses/bimachine-review-9484299)**

**Rating:** 4.5/5.0 stars

_— Isil A._

[Read full review](https://www.g2.com/survey_responses/bimachine-review-9484299)

#### What Are G2 Users Discussing About BIMachine?

- [What is BIMachine used for?](https://www.g2.com/discussions/what-is-bimachine-used-for) - 2 comments

### [ReportServer](https://www.g2.com/products/reportserver/reviews)

Powerful ad-hoc analysis coupled with support for OLAP and pixel-perfect reporting. With ReportServer you are not limited to one provider's solutions. ReportServer integrates Jasper, Eclipse BIRT, Mondrian and Excel-based reporting: choose what best suits your needs! On top, it comes with powerful admin tools and scripting capabilities that make integration into any environment easy. ReportServer Community Edition is freely available under the open source AGPL license. The feature extended ReportServer Enterprise Edition can be fully tested for 45 days. Just give it a try.

**Average Rating:** 4.2/5.0

**Total Reviews:** 25

#### How Do G2 Users Rate ReportServer?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 7.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ReportServer?

- **Seller:** [InfoFabrik GmbH](https://www.g2.com/sellers/infofabrik-gmbh)
- **HQ Location:** Wiesbaden, Germany
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b3d48cb4af94b7ea2d129555fa9b4b8257b33eddff6fb53d35fc01078e2fd1a9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3210261%2F&secure%5Burl_type%5D=linkedin_company_website)

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 48% Small, 36% Medium

#### What Are Recent G2 Reviews of ReportServer?

**["Likely Value Leader in Reporting Platforms"](https://www.g2.com/survey_responses/reportserver-review-223854)**

**Rating:** 4.5/5.0 stars

_— Ken L._

[Read full review](https://www.g2.com/survey_responses/reportserver-review-223854)

**["Excellent Option for BI"](https://www.g2.com/survey_responses/reportserver-review-239405)**

**Rating:** 4.5/5.0 stars

_— Alexandre R._

[Read full review](https://www.g2.com/survey_responses/reportserver-review-239405)

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[Video Editing Software](https://www.g2.com/categories/video-editing)

Similar Categories

- [Agentic Analytics](/categories/agentic-analytics)
- [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms)
- [Business Intelligence](/categories/business-intelligence)
- [Data Virtualization](/categories/data-virtualization)
- [Drone Analytics](/categories/drone-analytics)

- [Enterprise Search Software](/categories/enterprise-search-software)
- [Graph Visualization Tools](/categories/graph-visualization-tools)
- [Insight Engines](/categories/insight-engines)
- [Other Analytics](/categories/other-analytics)
- [Predictive Analytics](/categories/predictive-analytics)

- [Site Search Software](/categories/site-search-software)
- [Statistical Analysis](/categories/statistical-analysis)
- [Text Analysis](/categories/text-analysis)
- [Time Series Intelligence](/categories/time-series-intelligence)
- [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence)

[Browse Analytics Platforms Themes](/categories/analytics-platforms/themes)

 ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin")
TL

Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin)

Updated 

Products classified in the overall Analytics Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Analytics Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Analytics Platforms category.

In addition to qualifying for inclusion in the Analytics Platforms category, to qualify for inclusion in the Small Business Analytics Platforms category, a product must have at least 10 reviews left by a reviewer from a small business.

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* * *

## How Do You Choose the Right Analytics Platforms?

### What You Should Know About Analytics Platforms

### What are analytics software platforms?

Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries. 

Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends.

### What types of analytics tools and platforms exist?

#### **All-in-one software**

##### **Self-service analytics platforms**

Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery. 

##### **Embedded BI software**

Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making.

#### **Point solutions**

##### **Root cause analysis**

Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it.

### What are the common features of analytics solutions?

Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them:

**Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources.

**Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management.

**Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights.

**Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary. 

Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices.

[**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data.

**Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights.

Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional)

### What are the benefits of using analytics platforms?

**Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm).

**Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data.

**Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully.

**Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods.

**Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary.

**Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders.

### **Who uses analytics tools?**

Analytics platforms can have both internal and external users. 

#### **Internal users**

**Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams.

**Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue.

**Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location.

**Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools.

**Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform. 

#### **External users**

**Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions. 

Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting.

**Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data.

### **What are the alternatives to analytics platforms?**

Alternatives to analytics platforms can replace this type of software, either partially or completely:

[**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this.

[**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs. 

[**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics.

[**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution. 

[**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data.

[**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms. 

However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities.

### **Software and services related to analytics platforms**

Related solutions that can be used together with analytics platforms include:

[**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal.

[**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs. 

When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes.

### Challenges with analytics platforms

**Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting.

**Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components.

**Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards.

**Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority.

### How to choose the best analytics tools

#### Requirements Gathering (RFI/RFP) for Analytics Platforms

If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform.

The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy.

Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful.

#### Compare Analytics Platforms Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of analytics platforms

**Choose a selection team**

Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities.

**Analyze the data**

As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities.

**Negotiation**

Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board.

### How much do analytics software platforms cost?

As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure. 

As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle.

Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs.

As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software.

#### Return on Investment (ROI)

Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money.

Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool.

### Implementation of analytics software solutions

**How are analytics software Implemented?**

Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively.

**Who is responsible for analytics platform implementation?**

Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management.

### Emerging trends related to analytics platforms

**Increase data accessibility**

Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results.

With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources.

**Shift from on-premises to cloud**

The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated.

**Conversational AI**

Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data.

**Machine learning**

AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing.

### Analytics Platforms FAQs

#### **Which analytics platforms have an intuitive UI that non-technical users adopt without extensive training?**

I looked for analytics platforms that make it easy to find what you need also enable easy collaboration.

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Has a drag-and-drop chart building without SQL or code that makes it user-friendly. Users can connect Excel, SharePoint, and emails without technical help. 
- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can create dashboards with limited use and no deep technical background. Onboarding is as simple as sharing the links and giving the right access.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Spreadsheet-like UI provides the most distinctive non-technical adoption story. Users can pull in data and work with it in complicated ways that don't require coding.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer approach means business users interact with pre-defined, plain-language metrics rather than raw tables or SQL, which is the foundational mechanism for non-technical adoption. 

#### **What are the best analytics platforms for business teams accessing insights without SQL or data science skills?**

SQL-free access means business users can explore, filter, and create their own views without analyst dependency. 

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Non-technical users can build powerful dashboards quickly without SQL. Power BI's Power Query Editor handles data transformations through button clicks. The DAX layer exists for advanced users but is not required for standard self-service reporting.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Sigma's specific differentiator for SQL-free access is its spreadsheet-like interface on live warehouse data. For teams already on Snowflake or cloud warehouses, Sigma eliminates the SQL barrier entirely at the analysis layer.
- [Domo](https://www.g2.com/products/domo/reviews) **:** The no-code platform is easy to use for non-technical teams. Users can apply filtering and date range changes without any coding. The 1000+ connector ecosystem means data arrives automatically, so business users interact with dashboards rather than queries. 
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic model defines metrics in plain language; business users query pre-built dimensions and measures without writing a single line of SQL. 

#### **Which analytics platforms support collaborative dashboards, annotations, and mobile access for on-the-go insights?**

I looked for tools with collaborative analytics, shared dashboards, in-platform discussion, annotations, and mobile-ready access.

- [Domo](https://www.g2.com/products/domo/reviews) **:** Sales teams can access data and contacts in real-time on their phones. Has platform-native discussion, report sharing, and insight annotation as part of the daily workflow. 
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Web and mobile access are daily-use features. The platform enables collaboration so everyone can see the same report at the same time, updated in real time.
- [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **:** Designed around collaborative BI with built-in story, annotation, and broadcast features for sharing insights with business audiences. 
- [Looker](https://www.g2.com/products/looker/reviews) **:** Comes with scheduled report delivery, so automated weekly numbers land in inboxes without anyone manually running anything. Email reports and metric notifications can be set up as daily workflow features. 

#### **Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration?**

Fast ad-hoc exploration means users can drill down, pivot, and filter without waiting and without writing a new query every time.

- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can drill down on data without writing queries. Extracted datasets perform significantly better for ad-hoc work.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer so ad-hoc queries against massive datasets return fast without full table scans. 
- [Incorta](https://www.g2.com/products/incorta/reviews) **:** Its direct data mapping approach eliminates the aggregation layer that slows most BI platforms during ad-hoc queries. For organizations where query latency on complex, multi-source datasets is the primary pain, Incorta is a good choice.
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Provides intuitive filtering across countries, teams, and time periods within existing dashboards without analyst involvement. The Direct Lake connection mode specifically reduces ad-hoc query latency.

#### **Which analytics solutions integrate with Snowflake, BigQuery, and Redshift seamlessly?**

Native, live connections to modern data warehouses — where queries run in the warehouse rather than in the BI tool are what seamless integration actually means for data teams.

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Integration with Active Directory, SharePoint, and the Microsoft Fabric ecosystem is described as genuinely seamless for organizations already in the Microsoft stack.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Built to run directly on Snowflake (and BigQuery/Redshift) without extracting data. The architecture means live warehouse queries are the default mode, not an optional feature.
- [Databricks](https://www.g2.com/products/databricks/reviews) **:** It is the warehouse-layer itself for many organizations, not a BI tool connecting to a warehouse, which means integration is inherently native. For organizations that treat Databricks as the processing layer and BI tools as the visualization layer on top, Databricks' own analytics features (via SQL Warehouses and notebooks) eliminate the need for a separate integration layer.
- [Looker](https://www.g2.com/products/looker/reviews) **:** BigQuery is the most-named data warehouse in Looker's review base. LookML's push-down SQL architecture means all queries run in the warehouse (Snowflake, BigQuery, Redshift) rather than being extracted into Looker.

#### **Which analytics solutions come with robust caching and performance optimization to maintain fast speeds at scale?**

Caching and performance optimization matter when datasets are large, dashboards are complex, and business users can't wait for queries to resolve.

- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer specifically to make large dataset queries fast. For organizations where query latency on multi-billion row datasets is the blocking problem, Kyvos is the most purpose-built and best-validated option in the category on these dimensions.
- [Databricks](https://www.g2.com/products/databricks/reviews) **:** Photon engine, Delta Lake caching, and auto-scaling compute architecture are the performance mechanisms at scale. 
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Row Level Security, Premium capacity, and aggregation tables are the scale optimization toolkit. Performance at scale in Power BI is achievable but requires deliberate architecture, not automatic.
- [Incorta](https://www.g2.com/products/incorta/reviews) **:** Direct data mapping eliminates the pre-aggregation step that creates scale bottlenecks in most BI tools, allowing ad-hoc queries against large transactional datasets to run without a separate aggregation cache. 

#### **Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation?**

I looked for analytics platforms with strong data governance features. 

- [Looker](https://www.g2.com/products/looker/reviews) **:** LookML governance, real-time data access, and seamless integration with modern data warehouses together create the governed analytics environment enterprises need to prevent metric drift across teams.
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Addresses governance through Row Level Security, workspace permissions, and certified datasets, which restrict what data individual users can see and prevent unauthorized metric redefinition.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** It defines metrics once at the semantic model level and enforces those definitions for every downstream query and dashboard. 
- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Governance approach is built around Tableau Server and Tableau Cloud — where published data sources become the certified metric layer that individual report builders consume rather than create.